An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes

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cg.contributor.affiliationUniversity of Parmaen
cg.contributor.donorNational Recovery and Resilience Plan (NRRP)en
cg.contributor.donorEuropean Union – NextGenerationEUen
cg.identifier.doihttps://doi.org/10.1016/j.compag.2024.109660en
cg.identifier.iwmilibraryH053641
cg.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0168169924010512/pdfft?md5=0ee6c2d03ea22abdd45ba05215af6c74&pid=1-s2.0-S0168169924010512-main.pdfen
cg.issn0168-1699en
cg.journalComputers and Electronics in Agricultureen
dc.contributor.authorGalaverni, M.en
dc.contributor.authorOddi, G.en
dc.contributor.authorPreite, L.en
dc.contributor.authorBelli, L.en
dc.contributor.authorDavoli, L.en
dc.contributor.authorMarchioni, I.en
dc.contributor.authorRodolfi, M.en
dc.contributor.authorSolari; F.en
dc.contributor.authorBeghe, D.en
dc.contributor.authorGanino, T.en
dc.contributor.authorVignali, G.en
dc.contributor.authorFerrari, G.en
dc.date.accessioned2025-03-28T10:26:21Zen
dc.date.available2025-03-28T10:26:21Zen
dc.identifier.urihttps://hdl.handle.net/10568/173918
dc.titleAn Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimesen
dcterms.abstractThe exploitation of modern technologies in heterogeneous farming scenarios with different crops cultivation is nowadays an effective solution to implement the concept of Smart Agriculture (SA). Following this approach, in this study the tomato plants’ response to different irrigation regimes is investigated through the implementation of an Internet of Things (IoT)-oriented SA data collection and monitoring system. In particular, the experimentation is conducted on tomatoes grown at three different irrigation regimes: namely, at 100%, 60%, and 30% of the Italian irrigation recommendation service, denoted as Irriframe. The proposed platform, denoted as Agriware, is able to: (i) evaluate information from heterogeneous data sources, (ii) calculate agronomic indicators (e.g., Growing Degree Days, GDD), and (iii) monitor on-field parameters (e.g., water consumption). Different plant-related parameters have been collected to assess the response to water stress (e.g., Soil Plant Analysis Development (SPAD), chlorophyll content, fluorescence, and others), along with leaf color and final production evaluations. The obtained results show that the best irrigation regime, in terms of plant health and productivity, corresponds to 60% of Irriframe, allowing significant water savings for the cultivation.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationGalaverni, M.; Oddi, G.; Preite, L.; Belli, L.; Davoli, L.; Marchioni, I.; Rodolfi, M.; Solari; F.; Beghe, D.; Ganino, T.; Vignali, G.; Ferrari, G. 2025. An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes. Computers and Electronics in Agriculture, 229:109660. [doi:https://doi.org/10.1016/j.compag.2024.109660]en
dcterms.issued2024-12-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.typeJournal Article

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